A Turing Test for HDF5

by John Readey “For Heaven’s sake, do not confound HDF5 with anything else!” —Friedrich Nietzsche, Ecce Homo Alan Turing devised the Turing test (he referred to it as the “Imitation Game”) in 1950 to determine whether a machine could think. He believed that if machines could give answers that were indistinguishable from human answers, then […]

How to Build the HDF5 library and h5py in a Conda Virtual Environment

Virtual environments are very popular method for ordinary computer users to install software into an isolated space without assistance from their system administrators. The conda package manager is one of the most widely used tools for managing virtual environments. We are going to install software only from the conda-forge package repository, which is a community GitHub organization that maintains a large number of software packages.

Atmos Data Store project: A Highly Scalable Data Service (HSDS) Use Case

The Atmos Data Store team from Equinor have been working with The HDF Group over the last couple of years to incorporate the Highly Scalable Data Service (HSDS) as part of their system for managing hundreds of terabytes of metocean (meterological and oceangraphic) data. They’ve graciously agreed to provide some background on their project and

​Release of HDFView 3.3.2 (Newsletter #203)

The HDFView 3.3.2 release is now available from the HDFView 3.3.2 download page. This release was built and tested with HDF 4.3.0, HDF5 1.14.4, and OpenJDK 21. It uses modules, the newest jpackage for distribution, and adds support for float16 datatypes. This is a maintenance release with a few major enhancements. User option added for

New HDF5 CVE Issues (Fixed in 1.14.4)

Several new HDF5 CVE issues have been filed in MITRE and these should be released to the public sometime in the next few weeks. They are all fixed in HDF5 1.14.4 (released April 15, 2024) and no MITRE CVE issues are unaddressed.

Hermes 0.9.8-beta release

Hermes 0.9.8 has been released. This release features tagging. Tags enable users to semantically define associations between blobs and provide an intuitive way of locating blobs which are related.

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